META REGRESSION

META REGRESSION 在 Statistics Base Edition 中可用。 指令後面必須接著表示應效應大小變數的單一數值變數。 選擇性地， BY (後面接著要視為因素的變數名稱) 可以在指令之後。 或者， WITH 後面可以接著要視為共變數的數值變數名稱。

語法代表 meta 迴歸程序。

META REGRESSION variable [ BY factor_list ] [ WITH covariate_list]

[ /CRITERIA
   [ CLASSMISSING = {EXCLUDE**} {INCLUDE} ]
   [ CILEVEL = {95**} {value} ]
   [ MAXITER = {100**} {integer} ]
   [ MAXSTEP = {5**} {integer} ]
   [ CONVERGENCE = {1E−6**} {value} ]
]

/DATA
   {WEIGHT = {variable}} {VAR = {variable}} {SE = {variable}}

[ /INFERENCE
   [ MODEL = {RANDOM**} {FIXED[(MULTIPLICATIVE)]} ]
   [ INTERCEPT = {INCLUDE**} {EXCLUDE} ]
   [ DISTRIBUTION = {T**} {NORMAL}]
   [ ESTIMATE = {REML**} {ML} {BAYES}
                {HEDGES} {HUNTER_SCHMIDT} {DERSIMONIAN_LAIRD} {SIDIK_JONKMAN}
   ]
   [ ADJUSTSE = {NONE**} {KNAPP_HARTUNG} {TRUNCATED_KNAPP_HARTUNG} ]
   ]

[ /PRINT
   [ COEFF_TEST ] [ PARAMETER ]
]

[ /SAVE
   [ FIXPRED[(var_name)] ] [ SE_FIXPRED[(var_name)] ]
   [ PRED[(var_name)] ] [ SE_PRED[(var_name)] ]
   [ CIPREDL[(var_name)] ] [ CIPREDU[(var_name)] ]
   [ BLUPS[(var_name)] ] [ SE_BLUPS[(var_name)] ]
   [ RESID[(var_name)] ] [ SE_RESID[(var_name)] ]
   [ LEVERAGE[(var_name)] ]
]

[ /BUBBLEPLOT
   [ PREDICTORS = {variable_list} ]
   [ CENTER = {FALSE**} {TRUE} ]
   [ PROPORTION = {TRUE**} {FALSE} ]
   [ FITLINE = {TRUE**} {FALSE} ]
   [ CI = {TRUE**} {FALSE} ]
   [ LABEL = {variable}[({AUTO**} {RIGHT} {LEFT} {UPPER} {BOTTOM})] ]
   [ YRANGE = {value1 value2} ]
   [ XRANGE = {value1 value2} ]
]

* * 如果省略次指令，則為預設值。

此指令會讀取作用中資料集，並導致執行任何擱置指令。 如需相關資訊，請參閱主題 指令順序 。

META REGRESSION 指令的語法可以從 Meta 分析迴歸 對話框產生。

發行歷程

META REGRESSION var_name
  /DATA SE=var_name
  /CRITERIA CILEVEL=95 CLASSMISSING=EXCLUDE MAXITER=100 MAXSTEP=100 CONVERGENCE=0.000001
  /INFERENCE MODEL=RANDOM INTERCEPT=INCLUDE ESTIMATE=REML ADJUSTSE=NONE.